# australia_newz055 - Tarkus Knob - Breitenmoser Tree Ring Chronology Data #----------------------------------------------------------------------- # World Data Center for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program #----------------------------------------------------------------------- # NOTE: Please cite Publication, and Online_Resource and date accessed when using these data. # If there is no publication information, please cite Investigators, Title, and Online_Resource and date accessed. # # # Online_Resource: # # Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611 # # Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/4073 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: australia_newz055 - Tarkus Knob - Breitenmoser Tree Ring Chronology Data #-------------------- # Investigators # Investigators: Breitenmoser, P.; Bronnimann, S.; Frank, D. #-------------------- # Description_and_Notes # Description: Data from Breitenmoser 2014 Journal of past Climate supplementary, see publication for ARSTAN standardization details #-------------------- # Publication # Authors: Breitenmoser, P.; Bronnimann, S.; Frank, D. # Published_Date_or_Year: 2014-03-11 # Published_Title: Forward modelling of tree-ring width and comparison with a global network of tree-ring chronologies # Journal_Name: Climate of the Past # Volume: 10 # Edition: # Issue: # Pages: 437-449 # DOI: 10.5194/cp-10-437-2014 # Online_Resource: www.clim-past.net/10/437/2014/ # Full_Citation: # Abstract: We investigate relationships between climate and tree-ring data on a global scale using the process-based Vaganov–Shashkin Lite (VSL) forward model of tree-ring width formation. The VSL model requires as inputs only latitude, monthly mean temperature, and monthly accumulated precipitation. Hence, this simple, process-based model enables ring-width simulation at any location where monthly climate records exist. In this study, we analyse the growth response of simulated tree rings to monthly climate conditions obtained from the CRU TS3.1 data set back to 1901. Our key aims are (a) to assess the VSL model performance by examining the relations between simulated and observed growth at 2287 globally distributed sites, (b) indentify optimal growth parameters found during the model calibration, and (c) to evaluate the potential of the VSL model as an observation operator for data-assimilation-based reconstructions of climate from tree-ring width. The assessment of the growth-onset threshold temperature of approximately 4–6 C for most sites and species using a Bayesian estimation approach complements other studies on the lower temperature limits where plant growth may be sustained. Our results suggest that the VSL model skilfully simulates site level treering series in response to climate forcing for a wide range of environmental conditions and species. Spatial aggregation of the tree-ring chronologies to reduce non-climatic noise at the site level yielded notable improvements in the coherence between modelled and actual growth. The resulting distinct and coherent patterns of significant relationships between the aggregated and simulated series further demonstrate the VSL model’s ability to skilfully capture the climatic signal contained in tree-ring series. Finally, we propose that the VSL model can be used as an observation operator in data assimilation approaches to reconstruct past climate. #-------------------- # Authors: Anderson, D.M., Tardif, R., Horlick, K., Erb, M.P., Hakim, G.J., Noone, D., Perkins, W.A., and E. Steig # Published_Date_or_Year: 2018 # Published_Title: Additions to the last millennium reanalysis multi-proxy database # Journal_Name: Data Science Journal # Volume: # Edition: # Issue: # Pages: # Report_Number: # DOI: # Online_Resource: # Full_Citation: Anderson, D.M., Tardif, R., Horlick, K., Erb, M.P., Hakim, G., J., Noone, D., Perkins, W.A., and E. Steig, submitted. Additions to the last millennium reanalysis multi-proxy database. Data Science Journal. # Abstract: Progress in paleoclimatology increasingly occurs via data syntheses. We describe additions to a collection prepared for use in paleoclimate state estimation, specifically the Last Millennium Reanalysis (LMR). The 2290 additional series include 2152 tree ring chronologies and 138 other series. They supplement the collection used previously and together form a database titled LMRdb 1.0.0. The additional data draws from lake core, ice core, coral, speleothem, and tree ring archives, using published data primarily from the NOAA Paleoclimatology archive and a set of tree ring width chronologies standardized from raw International Tree Ring Data Bank ring width series. In contrast to many previous paleo compilations, the data were not selected (screened) on the basis of their environmental correlation, multi-century length, or other attributes. The inclusion of proxies sensitive to moisture and other environmental variables expands their use in data assimilation. A preliminary calibration using linear regression with mean annual temperature reveals characteristics of the proxy series and their relationship to temperature, as well as the noise and error characteristics of the records. The additional records are structured as individual files in the NOAA Paleoclimatology format and archived at NOAA Paleoclimatology (Anderson et al. 2018) and will continue to be improved and expanded as part of the LMR Project. The additions represent a four-fold increase in the number of records available for assimilation, provide expanded geographic coverage, and add additional proxy variables. Applications include data assimilation, proxy system model development, and paleoclimate reconstruction using climate field reconstruction and other methods. #------------------ # Funding_Agency # Funding_Agency_Name: Swiss National Science Foundation # Grant: #-------------------- # Funding_Agency_Name: National Science Foundation # Grant:AGS-1304263 # Funding_Agency_Name: National Oceanic and Atmospheric Administration # Grant:NA14OAR4310176 #------------------ # Site_Information # Site_Name: Tarkus Knob # Location: # Country: New Zealand # Northernmost_Latitude: -43.08 # Southernmost_Latitude: -43.08 # Easternmost_Longitude: 170.97 # Westernmost_Longitude: 170.97 # Elevation: 925 m #-------------------- # Data_Collection # Collection_Name: australia_newz055B # Earliest_Year: 1713 # Most_Recent_Year: 1978 # Time_Unit: y_ad # Core_Length: # Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[-12, 1, 2]"}}{"VSLite_parameters":{"T1":"4.01589654279","T2":"16.6684956872","M1":"0.0227334105963","M2":"0.395644527897"}} #-------------------- # Species # Species_Name: New Zealand cedar # Species_Code: LIBI #-------------------- # Chronology: # # # #-------------------- # Variables # # Data variables follow that are preceded by ## in columns one and two. # Data line variables format: Variables list, one per line, shortname-tab-longname-tab-longname components (9 components: what, material, error, units, seasonality, archive, detail, method, C or N for Character or Numeric data) # ##age age, , ,years AD, , , , ,N ##trsgi tree ring standardized growth index, tree ring, ,percent relative to mean growth, , Tree Rings, , ,N # #-------------------- # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing Values: nan # age trsgi 1713 0.925 1714 1.361 1715 1.384 1716 1.363 1717 0.739 1718 -0.002 1719 -0.002 1720 0.227 1721 0.309 1722 0.541 1723 0.537 1724 0.522 1725 0.716 1726 0.564 1727 0.647 1728 0.923 1729 0.735 1730 0.933 1731 0.798 1732 0.916 1733 0.922 1734 0.765 1735 1.11 1736 1.205 1737 0.949 1738 0.931 1739 1.024 1740 1.02 1741 1.099 1742 1.325 1743 1.168 1744 1.611 1745 1.603 1746 1.832 1747 1.687 1748 1.846 1749 1.478 1750 0.933 1751 1.172 1752 0.908 1753 1.342 1754 1.089 1755 1.015 1756 0.762 1757 1.184 1758 0.95 1759 1.164 1760 1.023 1761 1.03 1762 0.998 1763 0.88 1764 0.927 1765 0.814 1766 0.886 1767 1.171 1768 1.119 1769 1.046 1770 0.699 1771 1.086 1772 0.83 1773 0.982 1774 0.746 1775 0.772 1776 0.696 1777 0.958 1778 0.962 1779 1.052 1780 1.032 1781 0.995 1782 0.843 1783 0.936 1784 0.853 1785 1.038 1786 1.116 1787 0.982 1788 1.229 1789 1.362 1790 1.046 1791 0.832 1792 0.909 1793 0.82 1794 0.613 1795 0.584 1796 0.823 1797 0.861 1798 0.818 1799 0.337 1800 0.941 1801 0.766 1802 1.083 1803 0.856 1804 1.061 1805 1.606 1806 1.031 1807 0.735 1808 0.836 1809 0.76 1810 0.948 1811 0.766 1812 1.075 1813 0.994 1814 1.059 1815 1.15 1816 1.126 1817 0.789 1818 0.79 1819 0.935 1820 0.977 1821 0.875 1822 0.919 1823 1.092 1824 1.072 1825 1.167 1826 0.808 1827 1.271 1828 1.112 1829 1.009 1830 0.897 1831 1.033 1832 0.611 1833 0.553 1834 0.862 1835 1.001 1836 1.261 1837 1.053 1838 1.025 1839 0.986 1840 1.372 1841 1.691 1842 1.48 1843 1.212 1844 0.798 1845 1.26 1846 1.147 1847 1.231 1848 1.166 1849 0.865 1850 0.848 1851 0.938 1852 0.932 1853 0.922 1854 1.097 1855 1.269 1856 1.099 1857 0.898 1858 0.837 1859 0.714 1860 0.81 1861 1.281 1862 1.092 1863 1.109 1864 1.245 1865 1.211 1866 1.139 1867 1.009 1868 1.027 1869 1.132 1870 1.284 1871 1.162 1872 0.953 1873 1.306 1874 1.245 1875 1.361 1876 0.942 1877 1.117 1878 0.477 1879 1.149 1880 1.268 1881 1.43 1882 1.152 1883 1.083 1884 1.151 1885 1.382 1886 1.508 1887 1.305 1888 1.124 1889 1.259 1890 1.282 1891 1.09 1892 1.338 1893 1.298 1894 1.032 1895 0.593 1896 1.233 1897 1.127 1898 0.923 1899 1.043 1900 1.191 1901 0.924 1902 0.93 1903 0.707 1904 0.872 1905 0.791 1906 0.87 1907 0.888 1908 1.09 1909 1.01 1910 0.97 1911 1.011 1912 0.911 1913 1.174 1914 0.969 1915 0.94 1916 1.001 1917 1.287 1918 1.098 1919 0.848 1920 0.968 1921 1.01 1922 0.935 1923 0.498 1924 0.918 1925 0.861 1926 0.851 1927 1.042 1928 0.811 1929 0.713 1930 0.645 1931 0.847 1932 0.997 1933 0.892 1934 0.923 1935 0.509 1936 0.4 1937 0.388 1938 0.332 1939 0.455 1940 0.994 1941 1.105 1942 0.994 1943 0.959 1944 0.985 1945 0.833 1946 0.783 1947 0.794 1948 0.948 1949 0.819 1950 0.982 1951 0.813 1952 1.054 1953 1.255 1954 1.275 1955 1.204 1956 1.105 1957 0.846 1958 0.537 1959 0.728 1960 1.099 1961 1.035 1962 0.945 1963 0.862 1964 0.676 1965 0.701 1966 0.707 1967 0.875 1968 0.836 1969 0.79 1970 0.971 1971 0.906 1972 1.117 1973 1.116 1974 1.039 1975 0.849 1976 1.024 1977 0.988 1978 0.865